Implement the technical controls that support the program's responsible AI practice, in partnership with architecture, cybersecurity, data governance, and program leadership: bias and fairness evaluation, explainability, human-in-the-loop design, model cards and documentation, red-teaming, and pre-deployment risk assessment. You bring mastery of AI/ML technologies, MLOps, and responsible AI practice, and you apply it to two distinct problems: using AI to accelerate the modernization itself - code understanding, automated transformation, test generation, documentation recovery from undocumented legacy systems - and building the AI capabilities that modernized FAA systems will run on.